About Me

Profile

Data Scientist at Amazon Web Services with a strong background in machine learning and AI. I'm passionate about solving complex problems and driving innovation through data-driven technologies.

Expertise

Specialized in classification, optimization problems, deep learning, and cloud architecture. My research background provides a strong foundation for tackling challenging AI problems.

Recognition

Award-winning researcher with 23 published papers and 1805+ citations. My work has been recognized with the Outstanding Dissertation Award and multiple prestigious fellowships.

Qualifications Summary

  • Experienced AI and machine learning professional specialized in classification, optimization problems, and deep learning.
  • Proven track record in leading advanced AI solutions, driving industry-wide projects, and enhancing data-driven technologies.
  • 12+ years of programming experience (Python, JavaScript, Java, R) and 8+ years in machine learning, search, recommendation systems, NLP, and data mining.
  • Ph.D. from Virginia Tech with 10+ years of research and development experience.
  • Certified AWS Solutions Architect.
  • 1 U.S. Patent on Deep Learning and 23 published papers with 1805 citations, H-index of 21, and I-10 index of 24.
  • Awarded the 2021 Outstanding Ph.D. Dissertation Award among all STEM majors at Virginia Tech.

Education

Virginia Tech, Blacksburg, VA

Dec. 2016 – July 2020

Doctor of Philosophy and Master of Science, Electrical and Computer Engineering; GPA: 3.82

Dissertation: Distributed Machine Learning for Autonomous and Secure Cyber-physical Systems

University of Tehran, Tehran, Iran

Sept. 2011 – May 2016

Bachelor of Science, Electrical and Computer Engineering; GPA: 3.9

Achievements

Winner of 2021 Outstanding Dissertation Award in STEM at Virginia Tech.

Winner of the Bill and Larue Blackwell Graduate Research Award.

Recipient of 2017 Wireless@VT Fellowship.